Matias Miodosky is a technical lead with 8 years of experience building cloud-native platforms and backend systems, currently scaling Double’s platform and infrastructure from 0 to 100. He combines hands-on engineering with team leadership, managing a 5+ engineer team while previously driving API integrations and distributed, event-driven architectures at YC-backed startups and enterprise environments. As a university professor, he teaches programming and system design across languages including Python, Java, Scala, Go and Kotlin, which keeps his practices current and pedagogically rigorous. His background spans designing microservices for high-throughput on-premise systems to serverless and AWS-based architectures for global scale. Matias completed Stanford’s Professional Program in AI, bringing applied machine learning awareness to platform and product decisions. Based in Argentina, he blends startup velocity with academic discipline and a track record of shipping robust, production-grade systems.
8 years of coding experience
7 years of employment as a software developer
Artificial Intelligence Professional Program, Artificial Intelligence, Artificial Intelligence Professional Program, Artificial Intelligence at Stanford University School of Engineering
Software Engineering, Computer Software Engineering, Software Engineering, Computer Software Engineering at Universidad Austral, Buenos Aires
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